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adsfda
/
NiRNE

Image-to-Image
Diffusers
YOSONormalsPipeline
Model card Files Files and versions
xet
Community

Instructions to use adsfda/NiRNE with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Diffusers

    How to use adsfda/NiRNE with Diffusers:

    pip install -U diffusers transformers accelerate
    import torch
    from diffusers import DiffusionPipeline
    from diffusers.utils import load_image
    
    # switch to "mps" for apple devices
    pipe = DiffusionPipeline.from_pretrained("adsfda/NiRNE", dtype=torch.bfloat16, device_map="cuda")
    
    prompt = "Turn this cat into a dog"
    input_image = load_image("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/diffusers/cat.png")
    
    image = pipe(image=input_image, prompt=prompt).images[0]
  • Notebooks
  • Google Colab
  • Kaggle
NiRNE
5.26 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 6 commits
adsfda's picture
adsfda
Upload controlnet
70374c9 verified about 1 year ago
  • controlnet
    Upload controlnet about 1 year ago
  • unet
    Upload unet about 1 year ago
  • vae
    Upload vae about 1 year ago
  • .gitattributes
    1.52 kB
    initial commit about 1 year ago
  • README.md
    878 Bytes
    Create README.md about 1 year ago
  • model_index.json
    260 Bytes
    Upload model_index.json about 1 year ago